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Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells
Published on: January 7, 2020
Discovering multiple transcripts of human hepatocytes using massively parallel signature sequencing (MPSS)
Jian Huang1, Pei Hao, Yun-Li Zhang
1Department of Chemistry of Fudan University & Shanghai-Ministry Key Laboratory of Disease and Health Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, China. huangj@chgc.sh.cn <huangj@chgc.sh.cn>
BMC Genomics
|July 3, 2007
Summary
Researchers mapped the gene expression in human liver cells (hepatocytes) using Massively Parallel Signature Sequencing (MPSS). This study provides a comprehensive transcriptomic atlas for understanding liver biology and disease.
Area of Science:
- Hepatology
- Molecular Biology
- Genomics
Background:
- The liver, the largest internal organ, maintains homeostasis and metabolic functions.
- Hepatocytes constitute the majority of liver cells and perform its primary functions.
- Understanding hepatocyte molecular mechanisms is crucial for liver health.
Purpose of the Study:
- To profile the transcriptome of adult human hepatocytes.
- To identify novel genes and transcripts involved in liver function.
- To establish a molecular basis for hepatocyte activity.
Main Methods:
- Laser capture microdissection (LCM) was used to isolate adult human hepatocytes.
- Massively Parallel Signature Sequencing (MPSS) was employed for transcriptomic profiling.
- Analysis of UniGene clusters and unique MPSS signatures was performed.
Main Results:
- Over 10,000 UniGene clusters, representing 7,475 known genes, were identified.
- 1,819 unique antisense transcripts were highly expressed in hepatocytes.
- Specific examples of highly expressed antisense transcripts include APOC1, APOC2, APOB, and APOH.
Conclusions:
- The study generated a comprehensive transcriptomic atlas of human hepatocytes.
- Antisense transcripts may play roles in gene regulation via transcriptional interference.
- This resource aids in understanding human liver biology and associated diseases.
